Search results

We use design thinking in the context of accounting pedagogy to exploit recent advances in cybernetics in the form of generative artificial intelligence technology. Relying on the intuition that supplementing or augmenting human argumentation (natural intelligence or NI) with parallel AI output can produce better student written assignments, we posit the “augmentation premise,” that is, ((NI + AI) > AI > NI). To test the augmentation premise, we compare student written submissions in an Accounting Information Systems (AIS) course with and without the benefit of parallel generative AI output. We then evaluate how the generative AI output enhances student-crafted revisions to their initial submissions. Using a summative quality improvement index (QII) consisting of quantitative and qualitative assessments, we present preliminary evidence supporting the augmentation premise. The augmentation premise likely extends to other accounting subdisciplines and merits generalization for enriching accounting pedagogy.

Generativity is defined in this chapter as the creation of new images, metaphors, physical representations, and so on that have two qualities: they change how people think so that new options for decisions and/or actions become available to them, and they are compelling images that people want to act on. Research and experiences that suggest “positivity,” particularly positive emotion, is not sufficient for transformational change, but that generativity is a key change lever in cases of transformational change, are reviewed. A model of different characteristics of generativity is offered and ways in which appreciative inquiry can be a generative process, increase generative capacity, and lead to generative outcomes, are discussed. Ways to increase the generativity of appreciative inquiry through generative topics, generative questions, generative conversations, and generative action are offered.

Anyone who engages with ideas in the context of everyday work is engaged in idea work. Building on Jung’s psychological theory of types, we theorize about the fundamental processes underlying one’s generative capacity, and in turn, one’s ability to generate ideas and engage effectively in idea work. Moreover, we provide further insights regarding creativity and innovation in everyday work practices as well as discuss considerations for the design of environments and tools that are conducive to idea work.

This chapter provides preliminary evidence to show that financial accounting students would use generative artificial intelligence (AI) tools to improve their learning if given the opportunity to do so by their instructors. Most students who completed the exercises we used in the study did so diligently and modified their answers after using a generative AI tool in a manner that suggests beneficial effects. It appears that the more prior knowledge a student had about the subject matter, the more beneficial was the experience. Pitfalls still exist, however. For example, students without knowledge of the subject matter struggled with crafting queries and judging the efficacy of their answers. Moreover, although a minority, some students tended to duplicate their original answers without utilizing the responses generated by the generative AI tool. Additionally, certain students merely copied the answers generated by the AI tool without providing any additional critique or analysis. Implications for teaching and learning and opportunities for future research are discussed.

Appreciative inquiry is an approach to action research that intends to create knowledge for social innovation. Such knowledge has the generative capacity to interrupt habitual practice and to create an inspiring sense of possibility that energizes novel action. How can appreciative inquiry live up to this promise? The premise of this chapter is that we need to better understand the generative qualities of inquiry in the appreciative/inquiry equation. What is the nature of inquiry that has generativity at its core? The chapter describes five distinct, yet interrelated approaches that enhance the generative process of inquiry. They depict generativity as a dynamic interplay of open-endedness and connectedness. How can the five dimensions of generativity advance appreciative inquiry as a scholarship of transformation? The last section of the chapter gives some suggestions for such possible enrichment. We need audacious forms of scholarship for the creation of a more just and sustainable global society. Appreciative inquiry as a generative process is well positioned to take on that role.

This study provides a comprehensive framework of adaptation in triadic business relationship settings in the service sector. The framework is based on the industrial network approach (see, e.g., Axelsson & Easton, 1992; Håkansson & Snehota, 1995a). The study describes how adaptations initiate, how they progress, and what the outcomes of these adaptations are. Furthermore, the framework takes into account how adaptations spread in triadic relationship settings. The empirical context is corporate travel management, which is a chain of activities where an industrial enterprise, and its preferred travel agency and service supplier partners combine their resources. The scientific philosophy, on which the knowledge creation is based, is realist ontology. Epistemologically, the study relies on constructionist processes and interpretation. Case studies with in-depth interviews are the main source of data.

Generative theory challenges assumptions of the status quo, opens the world to new possibilities, and is frequently associated developmentally with a deep and caring concern for establishing and guiding the next generation. With emphasis on “opening the world to new possibilities” and “intergenerational transmission” might there be a useful exploration between the domains of generativity and the vast interest and literature on “the diffusion of innovation?” In this chapter, we develop the concept of generative diffusion of organizational innovation – how extraordinary, even revolutionary, new business organizations can have generative impact around the world while at the same time never coming to be wholly replicated in exactly the same way.

In this qualitative study, we explore 31 preservice teachers’ generative trajectories including how they built on instructional practices learned in the service-learning project, the university methods course, and the field-based experience. We addressed the question: In what ways does participating in a semester-long field-based university course combined with a service-learning program shape preservice teachers’ views about effective literacy practices for emergent bilinguals? We identified four themes in our analysis: importance of choice in literacy pedagogy; learning from and with our students; freedom to apply course methods and ideas; and growing confidence and align them with Ball’s (2009) generative change model and the four processes of change – metacognitive awareness, ideological becoming, internalization, and efficacy.

We found the preservice teachers’ ability to develop an awareness of diversity grew from their work with students both in their field-block experience and writing club. These opportunities provided them with a layering of learning – from course readings, collaborating with teachers, to problem solving and creating lessons that specifically met their students’ needs. By moving in and out of different contexts, preservice teachers developed generative knowledge about ways to support writing for emergent bilinguals. Likewise, they became keenly aware of their own experiences and beliefs. Implications include the importance of providing a variety of opportunities for preservice teachers to work directly with students. This should be accompanied by written and verbal discussions to examine and critique their experiences and ideologies in relation to students’ language and literacy needs.

An expanded perspective on information system design paradigms reveals that information systems (IS) have a generative capacity that enables reframing and recasting reality based upon alternative values. By synthesizing research in sustainable value, generative capacity, and community-based geographic information systems (GIS), we propose that IS can empower communities to create community sustainable value as they face increasing environmental and growth challenges. This surfaces the opportunity for the design and implementation of GIS to reduce information asymmetry, empower communities, and provide a history of decision-making, thereby enabling monitoring of the components of community sustainable value. Community members may incorporate local data, present alternative development/conservation scenarios, and gain a voice in the planning process. As Web-enabled GIS and low-cost analytic systems become accessible, the system design process itself represents an opportunity for situated social action in the formation of community sustainable values. Synthesizing these perspectives, we put forward the view that GIS development and use at a community level is a potentially constructive social process of value formation that can enable communities to envision their own futures.

Today's marketing is dominated by decision-making based on artificial intelligence and machine learning. This study focuses on one semi- and unsupervised machine learning technique, generative adversarial networks (GANs). GANs are a type of deep learning architecture capable of generating new data similar to the training data that were used to train it, and thus, it is designed to learn a generative model that can produce new samples. GANs have been used in multiple marketing areas, especially in creating images and video and providing customized consumer contents. Through providing a holistic picture of GANs, including its advantage, disadvantage, ethical considerations, and its current application, the study attempts to provide business some strategical orientations, including formulating strong marketing positioning, creating consumer lifetime values, and delivering desired marketing tactics in product, promotion, pricing, and distribution channel. Through using GANs, marketers will create unique experiences for consumers, build strategic focus, and gain competitive advantages. This study is an original endeavor in discussing GANs in marketing, offering fresh insights in this research topic.